heat_with_all_greater %>% melt(.) %>%
  mutate(gene = rep(c("ALK", "ARHGAP26", "ERG", "ETV1", "MAML3", "NTRK3", "RARA", "RET", "TACC3", "TFE3"), times = 19), .before = variable) %>%
  mutate(groups = cut(.$value, breaks = c(1, 0.05, 0))) %>%
  ggplot(., aes(gene, variable, fill = groups)) +
  geom_tile( colour = "white", linetype = 1) +
  scale_fill_discrete(breaks = levels(groups)) +
  theme(axis.text = element_text(size = 15)) +
  theme(axis.text.x = element_text(angle = 45, vjust = 0.5, hjust=0.5)) +
  labs(x = "Gene", y = "Cancer Type") 
No id variables; using all as measure variables

comparison of overexpression approaches

95th percentile overexpression identified more fusion gene samples only 3 samples were identified by Tukey's outlier that were not identified by 95th percentile (3 ETV1 prostate adenocarcinoma samples)

false positives when applied to all cancers

outlier_false_pos <- all_genes %>%
  filter(is_outlier == TRUE, fusion != "Fusion") %>% select(rail_id, gene, Project_ID)
write_csv(outlier_false_pos, 'outlier_false_pos.csv')

above95_false_pos <- all_genes %>%
  filter(above_95 == TRUE, fusion != "Fusion") %>% select(rail_id, gene, Project_ID)
write_csv(above95_false_pos, 'above95_false_pos.csv')

shared_false_pos <- all_genes %>%
  filter(above_95 == TRUE, is_outlier == TRUE, fusion != "Fusion") %>% select(rail_id, gene, Project_ID)
write_csv(shared_false_pos, 'shared_false_pos.csv')
all_genes %>%
  ungroup() %>%
  filter(has_cancer == "Cancer", above_95 == TRUE, fusion != "Fusion") %>% select(rail_id, gene, Project_ID) %>%
  group_by(gene) %>%
  mutate(gene_total = n()) %>%
  distinct(gene_total)
ided_by_both 
outlier_fusions %>% filter(gene != "TMPRSS2")
above_95percent
all_genes %>% filter(fusion == "Fusion") %>% ungroup() %>%
  summarise(n = n())
ided_by_both %>% ungroup() %>% group_by(gene) %>% summarise(n = n())
outlier_fusions %>% ungroup() %>% group_by(gene) %>% summarise(n = n())

difference is outlier picks up an extra 3 in ETV1

ided_by_both %>% filter(gene == "ETV1")
outlier_fusions %>% filter(gene == "ETV1")

-it picks up 3 extra etv1 prostate fusions

etv1_combined %>% filter(has_cancer == "Cancer", Project_ID == "PRAD") %>%
  ggplot(aes(x = Project_ID, y = log2_auc_norm)) +
  geom_boxplot() +
  geom_jitter(aes(colour = is_outlier))

etv1_combined %>% filter(has_cancer == "Cancer", Project_ID == "PRAD") %>%
  ggplot(aes(x = log2_auc_norm)) +
  geom_density() +
  geom_vline(aes(xintercept = log2_auc_norm), data = . %>% filter(fusion == "Fusion"))
shape_in_words3(shape_for_heatmap(etv1_combined))
outlier_false_pos
above95_false_pos
shared_false_pos

-larger discrepancy in false pos

comparing false positives

fpr_specific %>% group_by(gene, Project_ID) %>% summarise(n = n())

1241 samples for 95th

fpr_specific_outlier %>% group_by(gene, Project_ID) %>% summarise(n = n())

322 for outlier

fpr_specific_shared %>% group_by(gene, Project_ID) %>% summarise(n = n())

282 shared

overexp captures capture all the same for alk, arhgap26, erg, etv1 prad shared 19 (outlier 33), maml3, ntrk3, rara, ret luad shared 28 (outlier 54), tacc3, tfe3

so 2 cases where overexpress doesn't capture same false positives

etv1_combined %>% filter(has_cancer == "Cancer", Tissue == "Prostate", fusion == "Fusion")

boxplot visualisation of genes

alk_combined %>%
  filter(cancer_status == "Cancer") %>%
  ggplot(aes(x = Cancer, y = log2_auc_norm)) +
  geom_boxplot() +
  geom_jitter(aes(colour = Cancer), data=. %>% filter(fusion == "Fusion")) +
  theme(legend.position = "none") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

arhgap26_combined %>%
  filter(cancer_status == "Cancer") %>%
  ggplot(aes(x = Cancer, y = log2_auc_norm)) +
  geom_boxplot() +
  geom_jitter(aes(colour = Cancer), data=. %>% filter(fusion == "Fusion")) +
  theme(legend.position = "none") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

erg_combined %>%
  filter(cancer_status == "Cancer") %>%
  ggplot(aes(x = Cancer, y = log2_auc_norm)) +
  geom_boxplot() +
  geom_jitter(aes(colour = Cancer), data=. %>% filter(fusion == "Fusion")) +
  theme(legend.position = "none") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

etv1_combined %>%
  filter(cancer_status == "Cancer") %>%
  ggplot(aes(x = Cancer, y = log2_auc_norm)) +
  geom_boxplot() +
  geom_jitter(aes(colour = Cancer), data=. %>% filter(fusion == "Fusion")) +
  theme(legend.position = "none") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

maml3_combined %>%
  filter(cancer_status == "Cancer") %>%
  ggplot(aes(x = Cancer, y = log2_auc_norm)) +
  geom_boxplot() +
  geom_jitter(aes(colour = Cancer), data=. %>% filter(fusion == "Fusion")) +
  theme(legend.position = "none") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

ntrk3_combined %>%
  filter(cancer_status == "Cancer") %>%
  ggplot(aes(x = Cancer, y = log2_auc_norm)) +
  geom_boxplot() +
  geom_jitter(aes(colour = Cancer), data=. %>% filter(fusion == "Fusion")) +
  theme(legend.position = "none") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

rara_combined %>%
  filter(cancer_status == "Cancer") %>%
  ggplot(aes(x = Cancer, y = log2_auc_norm)) +
  geom_boxplot() +
  geom_jitter(aes(colour = Cancer), data=. %>% filter(fusion == "Fusion")) +
  theme(legend.position = "none") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

ret_combined %>%
  filter(cancer_status == "Cancer") %>%
  ggplot(aes(x = Cancer, y = log2_auc_norm)) +
  geom_boxplot() +
  geom_jitter(aes(colour = Cancer), data=. %>% filter(fusion == "Fusion")) +
  theme(legend.position = "none") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

tacc3_combined %>%
  filter(cancer_status == "Cancer") %>%
  ggplot(aes(x = Cancer, y = log2_auc_norm)) +
  geom_boxplot() +
  geom_jitter(aes(colour = Cancer), data=. %>% filter(fusion == "Fusion")) +
  theme(legend.position = "none") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

tfe3_combined %>%
  filter(cancer_status == "Cancer") %>%
  ggplot(aes(x = Cancer, y = log2_auc_norm)) +
  geom_boxplot() +
  geom_jitter(aes(colour = Cancer), data=. %>% filter(fusion == "Fusion")) +
  theme(legend.position = "none") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

tmprss2_combined %>%
  filter(cancer_status == "Cancer") %>%
  ggplot(aes(x = Cancer, y = log2_auc_norm)) +
  geom_boxplot() +
  geom_jitter(aes(colour = Cancer), data=. %>% filter(fusion == "Fusion")) +
  theme(legend.position = "none") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

Tukey's outlier method

so these graphs are the the outlier == TRUE

expression_function_mutate(erg_counts) %>%
  filter(is_outlier == "TRUE") %>%
  ggplot(aes(x = Cancer, fill = fusion)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(maml3_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(is_outlier == "TRUE") %>%
  ggplot(aes(x = Cancer, fill = fusion)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(tfe3_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(is_outlier == "TRUE") %>%
  ggplot(aes(x = Cancer, fill = fusion)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(tmprss2_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(is_outlier == "TRUE") %>%
  ggplot(aes(x = Cancer, fill = fusion)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(rara_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(is_outlier == "TRUE") %>%
  ggplot(aes(x = Cancer, fill = fusion)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

#middle
expression_function_mutate(tacc3_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(is_outlier == "TRUE") %>%
  ggplot(aes(x = Cancer, fill = fusion)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(ret_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(is_outlier == "TRUE") %>%
  ggplot(aes(x = Cancer, fill = fusion)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(etv1_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(is_outlier == "TRUE") %>%
  ggplot(aes(x = Cancer, fill = fusion)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(ntrk3_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(is_outlier == "TRUE") %>%
  ggplot(aes(x = Cancer, fill = fusion)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(alk_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(is_outlier == "TRUE") %>%
  ggplot(aes(x = Cancer, fill = fusion)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(arhgap26_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(is_outlier == "TRUE") %>%
  ggplot(aes(x = Cancer, fill = fusion)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

graphs fusions == TRUE, stacked by outliers

#early breaks
expression_function_mutate(erg_counts) %>%
  filter(fusion == "Fusion") %>%
  ggplot(aes(x = Cancer, fill = is_outlier)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(maml3_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(fusion == "Fusion") %>%
  ggplot(aes(x = Cancer, fill = is_outlier)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(tfe3_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(fusion == "Fusion") %>%
  ggplot(aes(x = Cancer, fill = is_outlier)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(tmprss2_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(fusion == "Fusion") %>%
  ggplot(aes(x = Cancer, fill = is_outlier)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(rara_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(fusion == "Fusion") %>%
  ggplot(aes(x = Cancer, fill = is_outlier)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

#middle
expression_function_mutate(tacc3_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(fusion == "Fusion") %>%
  ggplot(aes(x = Cancer, fill = is_outlier)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(ret_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(fusion == "Fusion") %>%
  ggplot(aes(x = Cancer, fill = is_outlier)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(etv1_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(fusion == "Fusion") %>%
  ggplot(aes(x = Cancer, fill = is_outlier)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(ntrk3_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(fusion == "Fusion") %>%
  ggplot(aes(x = Cancer, fill = is_outlier)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(alk_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(fusion == "Fusion") %>%
  ggplot(aes(x = Cancer, fill = is_outlier)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(arhgap26_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(fusion == "Fusion") %>%
  ggplot(aes(x = Cancer, fill = is_outlier)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

-not as nice looking like this

---
title: "Overexpression analysis"
output: html_notebook
---

```{r}
alk.test2 <- rbind(alk_counts %>% filter(Cancer == "Kidney Renal Papillary Cell Carcinoma"), 
      alk_counts %>% filter(Cancer == "Lung Adenocarcinoma"), 
      alk_counts %>% filter(Cancer == "Skin Cutaneous Melanoma"), 
      alk_counts %>% filter(Cancer == "Thyroid Carcinoma")) %>%
  filter(has_cancer == "Cancer") %>%
  split(f = list(as.character(.$Cancer))) %>%
  map(~wilcox.test(.x$log2_auc_norm ~ .x$fusion, alternative = "greater")$p.value) %>% 
  unlist(., .$Cancer) %>%
  t(.) %>%
  data.frame(.) %>%
     mutate(Acute.Myeloid.Leukemia = 1, Bladder.Urothelial.Carcinoma = 1, Brain.Lower.Grade.Glioma = 1, Breast.Invasive.Carcinoma = 1, Cervical.Squamous.Cell.Carcinoma.and.Endocervical.Adenocarcinoma = 1, Colon.Adenocarcinoma = 1, Esophageal.Carcinoma = 1, Head.and.Neck.Squamous.Cell.Carcinoma = 1, Kidney.Renal.Clear.Cell.Carcinoma = 1, Liver.Hepatocellular.Carcinoma = 1, Lung.Squamous.Cell.Carcinoma = 1, Pheochromocytoma.and.Paraganglioma	= 1, Prostate.Adenocarcinoma = 1,  Stomach.Adenocarcinoma = 1)  %>%
  .[, order(colnames(.))]

arh.test2 <- rbind(arhgap26_counts %>% filter(Cancer == "Lung Adenocarcinoma"), 
      arhgap26_counts %>% filter(Cancer == "Stomach Adenocarcinoma")) %>%
  filter(has_cancer == "Cancer") %>%
  split(f = list(as.character(.$Cancer))) %>%
  map(~wilcox.test(.x$log2_auc_norm ~ .x$fusion, alternative = "greater")$p.value) %>% 
  unlist(., .$Cancer) %>%
  t(.) %>%
  data.frame(.) %>%
     mutate(Acute.Myeloid.Leukemia = 1, Bladder.Urothelial.Carcinoma = 1, Brain.Lower.Grade.Glioma = 1, Breast.Invasive.Carcinoma = 1, Cervical.Squamous.Cell.Carcinoma.and.Endocervical.Adenocarcinoma = 1, Colon.Adenocarcinoma = 1, Esophageal.Carcinoma = 1, Head.and.Neck.Squamous.Cell.Carcinoma = 1, Kidney.Renal.Clear.Cell.Carcinoma = 1, Kidney.Renal.Papillary.Cell.Carcinoma = 1, Liver.Hepatocellular.Carcinoma = 1, Lung.Squamous.Cell.Carcinoma = 1, Pheochromocytoma.and.Paraganglioma	= 1, Prostate.Adenocarcinoma = 1, Skin.Cutaneous.Melanoma = 1, Thyroid.Carcinoma = 1)  %>%
  .[, order(colnames(.))]

erg.test2 <- rbind(erg_counts %>% filter(Cancer == "Prostate Adenocarcinoma"))%>%
  filter(has_cancer == "Cancer") %>%
  split(f = list(as.character(.$Cancer))) %>%
  map(~wilcox.test(.x$log2_auc_norm ~ .x$fusion, alternative = "greater")$p.value) %>% 
  unlist(., .$Cancer) %>%
  t(.) %>%
  data.frame(.) %>%
     mutate(Acute.Myeloid.Leukemia = 1, Bladder.Urothelial.Carcinoma = 1, Brain.Lower.Grade.Glioma = 1, Breast.Invasive.Carcinoma = 1, Cervical.Squamous.Cell.Carcinoma.and.Endocervical.Adenocarcinoma = 1, Colon.Adenocarcinoma = 1, Esophageal.Carcinoma = 1, Head.and.Neck.Squamous.Cell.Carcinoma = 1, Kidney.Renal.Clear.Cell.Carcinoma = 1, Kidney.Renal.Papillary.Cell.Carcinoma = 1, Liver.Hepatocellular.Carcinoma = 1, Lung.Adenocarcinoma = 1, Lung.Squamous.Cell.Carcinoma = 1, Pheochromocytoma.and.Paraganglioma	= 1, Skin.Cutaneous.Melanoma = 1, Stomach.Adenocarcinoma = 1, Thyroid.Carcinoma = 1)  %>%
  .[, order(colnames(.))]

etv.test2 <- rbind(etv1_counts %>% filter(Cancer == "Prostate Adenocarcinoma"))%>%
  filter(has_cancer == "Cancer") %>%
  split(f = list(as.character(.$Cancer))) %>%
  map(~wilcox.test(.x$log2_auc_norm ~ .x$fusion, alternative = "greater")$p.value) %>% 
  unlist(., .$Cancer) %>%
  t(.) %>%
  data.frame(.) %>%
     mutate(Acute.Myeloid.Leukemia = 1, Bladder.Urothelial.Carcinoma = 1, Brain.Lower.Grade.Glioma = 1, Breast.Invasive.Carcinoma = 1, Cervical.Squamous.Cell.Carcinoma.and.Endocervical.Adenocarcinoma = 1, Colon.Adenocarcinoma = 1, Esophageal.Carcinoma = 1, Head.and.Neck.Squamous.Cell.Carcinoma = 1, Kidney.Renal.Clear.Cell.Carcinoma = 1, Kidney.Renal.Papillary.Cell.Carcinoma = 1, Liver.Hepatocellular.Carcinoma = 1, Lung.Adenocarcinoma = 1, Lung.Squamous.Cell.Carcinoma = 1, Pheochromocytoma.and.Paraganglioma	= 1, Skin.Cutaneous.Melanoma = 1, Stomach.Adenocarcinoma = 1, Thyroid.Carcinoma = 1)  %>%
  .[, order(colnames(.))]

mam.test2 <- rbind(maml3_counts %>% filter(Cancer == "Pheochromocytoma and Paraganglioma"))%>%
  filter(has_cancer == "Cancer") %>%
  split(f = list(as.character(.$Cancer))) %>%
  map(~wilcox.test(.x$log2_auc_norm ~ .x$fusion, alternative = "greater")$p.value) %>% 
  unlist(., .$Cancer) %>%
  t(.) %>%
  data.frame(.) %>%
     mutate(Acute.Myeloid.Leukemia = 1, Bladder.Urothelial.Carcinoma = 1, Brain.Lower.Grade.Glioma = 1, Breast.Invasive.Carcinoma = 1, Cervical.Squamous.Cell.Carcinoma.and.Endocervical.Adenocarcinoma = 1, Colon.Adenocarcinoma = 1, Esophageal.Carcinoma = 1, Head.and.Neck.Squamous.Cell.Carcinoma = 1, Kidney.Renal.Clear.Cell.Carcinoma = 1, Kidney.Renal.Papillary.Cell.Carcinoma = 1, Liver.Hepatocellular.Carcinoma = 1, Lung.Adenocarcinoma = 1, Lung.Squamous.Cell.Carcinoma = 1, Prostate.Adenocarcinoma = 1, Skin.Cutaneous.Melanoma = 1, Stomach.Adenocarcinoma = 1, Thyroid.Carcinoma = 1)  %>%
  .[, order(colnames(.))]

ntr.test2 <- rbind(ntrk3_counts %>% filter(Cancer == "Colon Adenocarcinoma"), 
            ntrk3_counts %>% filter(Cancer == "Thyroid Carcinoma")) %>%
  filter(has_cancer == "Cancer") %>%
  split(f = list(as.character(.$Cancer))) %>%
  map(~wilcox.test(.x$log2_auc_norm ~ .x$fusion, alternative = "greater")$p.value) %>% 
  unlist(., .$Cancer) %>%
  t(.) %>%
  data.frame(.) %>%
     mutate(Acute.Myeloid.Leukemia = 1, Bladder.Urothelial.Carcinoma = 1, Brain.Lower.Grade.Glioma = 1, Breast.Invasive.Carcinoma = 1, Cervical.Squamous.Cell.Carcinoma.and.Endocervical.Adenocarcinoma = 1, Esophageal.Carcinoma = 1, Head.and.Neck.Squamous.Cell.Carcinoma = 1, Kidney.Renal.Clear.Cell.Carcinoma = 1, Kidney.Renal.Papillary.Cell.Carcinoma = 1, Liver.Hepatocellular.Carcinoma = 1, Lung.Adenocarcinoma = 1, Lung.Squamous.Cell.Carcinoma = 1, Pheochromocytoma.and.Paraganglioma	= 1, Prostate.Adenocarcinoma = 1, Skin.Cutaneous.Melanoma = 1, Stomach.Adenocarcinoma = 1)  %>%
  .[, order(colnames(.))]

rara.test2 <- rbind(rara_counts %>% filter(Cancer == "Acute Myeloid Leukemia"), 
            rara_counts %>% filter(Cancer == "Breast Invasive Carcinoma")) %>%
  filter(has_cancer == "Cancer") %>%
  split(f = list(as.character(.$Cancer))) %>%
  map(~wilcox.test(.x$log2_auc_norm ~ .x$fusion, alternative = "greater")$p.value) %>% 
  unlist(., .$Cancer) %>%
  t(.) %>%
  data.frame(.) %>%
     mutate(Bladder.Urothelial.Carcinoma = 1, Brain.Lower.Grade.Glioma = 1, Cervical.Squamous.Cell.Carcinoma.and.Endocervical.Adenocarcinoma = 1, Colon.Adenocarcinoma = 1, Esophageal.Carcinoma = 1, Head.and.Neck.Squamous.Cell.Carcinoma = 1, Kidney.Renal.Clear.Cell.Carcinoma = 1, Kidney.Renal.Papillary.Cell.Carcinoma = 1, Liver.Hepatocellular.Carcinoma = 1, Lung.Adenocarcinoma = 1, Lung.Squamous.Cell.Carcinoma = 1, Pheochromocytoma.and.Paraganglioma	= 1, Prostate.Adenocarcinoma = 1, Skin.Cutaneous.Melanoma = 1, Stomach.Adenocarcinoma = 1, Thyroid.Carcinoma = 1)  %>%
  .[, order(colnames(.))]

ret.test2 <- rbind(ret_counts %>% filter(Cancer == "Lung Adenocarcinoma"), 
            ret_counts %>% filter(Cancer == "Thyroid Carcinoma")) %>%
  filter(has_cancer == "Cancer") %>%
  split(f = list(as.character(.$Cancer))) %>%
  map(~wilcox.test(.x$log2_auc_norm ~ .x$fusion, alternative = "greater")$p.value) %>% 
  unlist(., .$Cancer) %>%
  t(.) %>%
  data.frame(.) %>%
     mutate(Acute.Myeloid.Leukemia = 1, Bladder.Urothelial.Carcinoma = 1, Brain.Lower.Grade.Glioma = 1, Breast.Invasive.Carcinoma = 1, Cervical.Squamous.Cell.Carcinoma.and.Endocervical.Adenocarcinoma = 1, Colon.Adenocarcinoma = 1, Esophageal.Carcinoma = 1, Head.and.Neck.Squamous.Cell.Carcinoma = 1, Kidney.Renal.Clear.Cell.Carcinoma = 1, Kidney.Renal.Papillary.Cell.Carcinoma = 1, Liver.Hepatocellular.Carcinoma = 1, Lung.Squamous.Cell.Carcinoma = 1, Pheochromocytoma.and.Paraganglioma	= 1, Prostate.Adenocarcinoma = 1, Skin.Cutaneous.Melanoma = 1, Stomach.Adenocarcinoma = 1)  %>%
  .[, order(colnames(.))]

tacc.test2 <- rbind(tacc3_counts %>% filter(Cancer == "Bladder Urothelial Carcinoma"), 
      tacc3_counts %>% filter(Cancer == "Brain Lower Grade Glioma"), 
      tacc3_counts %>% filter(Cancer == "Breast Invasive Carcinoma"), 
      tacc3_counts %>% filter(Cancer == "Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma"), 
      tacc3_counts %>% filter(Cancer == "Esophageal Carcinoma"),
      tacc3_counts %>% filter(Cancer == "Head and Neck Squamous Cell Carcinoma"),
      tacc3_counts %>% filter(Cancer == "Kidney Renal Papillary Cell Carcinoma"),
      tacc3_counts %>% filter(Cancer == "Liver Hepatocellular Carcinoma"),
      tacc3_counts %>% filter(Cancer == "Lung Squamous Cell Carcinoma")) %>%
  filter(has_cancer == "Cancer") %>%
  split(f = list(as.character(.$Cancer))) %>%
  map(~wilcox.test(.x$log2_auc_norm ~ .x$fusion, alternative = "greater")$p.value) %>% 
  unlist(., .$Cancer) %>%
  t(.) %>%
  data.frame(.) %>%
   mutate(Acute.Myeloid.Leukemia = 1, Colon.Adenocarcinoma = 1, Kidney.Renal.Clear.Cell.Carcinoma = 1, Lung.Adenocarcinoma = 1, Pheochromocytoma.and.Paraganglioma	= 1, Prostate.Adenocarcinoma = 1, Skin.Cutaneous.Melanoma = 1, Stomach.Adenocarcinoma = 1, Thyroid.Carcinoma = 1)  %>%
  .[, order(colnames(.))]

tfe.test2 <- rbind(tfe3_counts %>% filter(Cancer == "Kidney Renal Clear Cell Carcinoma"), 
            tfe3_counts %>% filter(Cancer == "Kidney Renal Papillary Cell Carcinoma")) %>%
  filter(has_cancer == "Cancer") %>%
  split(f = list(as.character(.$Cancer))) %>%
  map(~wilcox.test(.x$log2_auc_norm ~ .x$fusion, alternative = "greater")$p.value) %>% 
  unlist(., .$Cancer) %>%
  t(.) %>%
  data.frame(.) %>%
     mutate(Acute.Myeloid.Leukemia = 1, Bladder.Urothelial.Carcinoma = 1, Brain.Lower.Grade.Glioma = 1, Breast.Invasive.Carcinoma = 1, Cervical.Squamous.Cell.Carcinoma.and.Endocervical.Adenocarcinoma = 1, Colon.Adenocarcinoma = 1, Esophageal.Carcinoma = 1, Head.and.Neck.Squamous.Cell.Carcinoma = 1, Liver.Hepatocellular.Carcinoma = 1, Lung.Adenocarcinoma = 1, Lung.Squamous.Cell.Carcinoma = 1, Pheochromocytoma.and.Paraganglioma	= 1, Prostate.Adenocarcinoma = 1, Skin.Cutaneous.Melanoma = 1, Stomach.Adenocarcinoma = 1, Thyroid.Carcinoma = 1)  %>%
  .[, order(colnames(.))]
 
heat_trial_na_greater <-data.frame(rbind(alk.test2, arh.test2, erg.test2, etv.test2, mam.test2, ntr.test2, rara.test2, ret.test2, tacc.test2, tfe.test2)) 
rownames(heat_trial_na_greater) <- c("ALK", "ARHGAP26", "ERG", "ETV1", "MAML3", "NTRK3", "RARA", "RET", "TACC3", "TFE3")
heat_trial_na_greater <- na_if(heat_trial_na_greater, 1)
heat_trial_na_greater

all_cancer_p_greater <- all_genes %>%
  filter(has_cancer == "Cancer") %>%
  split(f = list(as.character(.$gene))) %>%
  map(~wilcox.test(.$log2_auc_norm ~ .$fusion, alternative = "greater")$p.value) %>%
  unlist(., .$gene) %>%
  data.frame()
colnames(all_cancer_p_greater) <- "All"
all_cancer_p_greater
heat_with_all_greater <- cbind(heat_trial_na_greater, all_cancer_p_greater)
heat_with_all_greater

heat_with_all_greater %>% melt(.) %>%
  mutate(gene = rep(c("ALK", "ARHGAP26", "ERG", "ETV1", "MAML3", "NTRK3", "RARA", "RET", "TACC3", "TFE3"), times = 19), .before = variable) %>%
  mutate(groups = cut(.$value, breaks = c(1, 0.05, 0))) %>%
  ggplot(., aes(gene, variable, fill = groups)) +
  geom_tile( colour = "white", linetype = 1) +
  scale_fill_discrete(breaks = levels(groups)) +
  theme(axis.text = element_text(size = 15)) +
  theme(axis.text.x = element_text(angle = 45, vjust = 0.5, hjust=0.5)) +
  labs(x = "Gene", y = "Cancer Type") 
```
#comparison of overexpression approaches
95th percentile overexpression identified more fusion gene samples
only 3 samples were identified by Tukey's outlier that were not identified by 95th percentile (3 ETV1 prostate adenocarcinoma samples)

false positives when applied to all cancers
```{r}
outlier_false_pos <- all_genes %>%
  filter(is_outlier == TRUE, fusion != "Fusion") %>% select(rail_id, gene, Project_ID)
write_csv(outlier_false_pos, 'outlier_false_pos.csv')

above95_false_pos <- all_genes %>%
  filter(above_95 == TRUE, fusion != "Fusion") %>% select(rail_id, gene, Project_ID)
write_csv(above95_false_pos, 'above95_false_pos.csv')

shared_false_pos <- all_genes %>%
  filter(above_95 == TRUE, is_outlier == TRUE, fusion != "Fusion") %>% select(rail_id, gene, Project_ID)
write_csv(shared_false_pos, 'shared_false_pos.csv')
```

```{r}
all_genes %>%
  ungroup() %>%
  filter(has_cancer == "Cancer", above_95 == TRUE, fusion != "Fusion") %>% select(rail_id, gene, Project_ID) %>%
  group_by(gene) %>%
  mutate(gene_total = n()) %>%
  distinct(gene_total)
```





```{r}
ided_by_both 
outlier_fusions %>% filter(gene != "TMPRSS2")
above_95percent
```
```{r}
all_genes %>% filter(fusion == "Fusion") %>% ungroup() %>%
  summarise(n = n())
```

```{r}
ided_by_both %>% ungroup() %>% group_by(gene) %>% summarise(n = n())
```

```{r}
outlier_fusions %>% ungroup() %>% group_by(gene) %>% summarise(n = n())
```
difference is outlier picks up an extra 3 in ETV1

```{r}
ided_by_both %>% filter(gene == "ETV1")
```

```{r}
outlier_fusions %>% filter(gene == "ETV1")
```
-it picks up 3 extra etv1 prostate fusions

```{r}
etv1_combined %>% filter(has_cancer == "Cancer", Project_ID == "PRAD") %>%
  ggplot(aes(x = Project_ID, y = log2_auc_norm)) +
  geom_boxplot() +
  geom_jitter(aes(colour = is_outlier))

etv1_combined %>% filter(has_cancer == "Cancer", Project_ID == "PRAD") %>%
  ggplot(aes(x = log2_auc_norm)) +
  geom_density() +
  geom_vline(aes(xintercept = log2_auc_norm), data = . %>% filter(fusion == "Fusion"))
```
```{r}
shape_in_words3(shape_for_heatmap(etv1_combined))
```


```{r}
outlier_false_pos
above95_false_pos
shared_false_pos
```
-larger discrepancy in false pos

#comparing false positives
```{r}
fpr_specific %>% group_by(gene, Project_ID) %>% summarise(n = n())
```
1241 samples for 95th
```{r}
fpr_specific_outlier %>% group_by(gene, Project_ID) %>% summarise(n = n())
```
322 for outlier

```{r}
fpr_specific_shared %>% group_by(gene, Project_ID) %>% summarise(n = n())
```
282 shared

overexp captures 
capture all the same for alk, arhgap26, erg, etv1 prad shared 19 (outlier 33), maml3, ntrk3, rara, ret luad shared 28 (outlier 54), tacc3, tfe3

so 2 cases where overexpress doesn't capture same false positives

```{r}
etv1_combined %>% filter(has_cancer == "Cancer", Tissue == "Prostate", fusion == "Fusion")
```

#boxplot visualisation of genes

```{r}
alk_combined %>%
  filter(cancer_status == "Cancer") %>%
  ggplot(aes(x = Cancer, y = log2_auc_norm)) +
  geom_boxplot() +
  geom_jitter(aes(colour = Cancer), data=. %>% filter(fusion == "Fusion")) +
  theme(legend.position = "none") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

arhgap26_combined %>%
  filter(cancer_status == "Cancer") %>%
  ggplot(aes(x = Cancer, y = log2_auc_norm)) +
  geom_boxplot() +
  geom_jitter(aes(colour = Cancer), data=. %>% filter(fusion == "Fusion")) +
  theme(legend.position = "none") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

erg_combined %>%
  filter(cancer_status == "Cancer") %>%
  ggplot(aes(x = Cancer, y = log2_auc_norm)) +
  geom_boxplot() +
  geom_jitter(aes(colour = Cancer), data=. %>% filter(fusion == "Fusion")) +
  theme(legend.position = "none") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

etv1_combined %>%
  filter(cancer_status == "Cancer") %>%
  ggplot(aes(x = Cancer, y = log2_auc_norm)) +
  geom_boxplot() +
  geom_jitter(aes(colour = Cancer), data=. %>% filter(fusion == "Fusion")) +
  theme(legend.position = "none") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

maml3_combined %>%
  filter(cancer_status == "Cancer") %>%
  ggplot(aes(x = Cancer, y = log2_auc_norm)) +
  geom_boxplot() +
  geom_jitter(aes(colour = Cancer), data=. %>% filter(fusion == "Fusion")) +
  theme(legend.position = "none") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

ntrk3_combined %>%
  filter(cancer_status == "Cancer") %>%
  ggplot(aes(x = Cancer, y = log2_auc_norm)) +
  geom_boxplot() +
  geom_jitter(aes(colour = Cancer), data=. %>% filter(fusion == "Fusion")) +
  theme(legend.position = "none") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

rara_combined %>%
  filter(cancer_status == "Cancer") %>%
  ggplot(aes(x = Cancer, y = log2_auc_norm)) +
  geom_boxplot() +
  geom_jitter(aes(colour = Cancer), data=. %>% filter(fusion == "Fusion")) +
  theme(legend.position = "none") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

ret_combined %>%
  filter(cancer_status == "Cancer") %>%
  ggplot(aes(x = Cancer, y = log2_auc_norm)) +
  geom_boxplot() +
  geom_jitter(aes(colour = Cancer), data=. %>% filter(fusion == "Fusion")) +
  theme(legend.position = "none") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

tacc3_combined %>%
  filter(cancer_status == "Cancer") %>%
  ggplot(aes(x = Cancer, y = log2_auc_norm)) +
  geom_boxplot() +
  geom_jitter(aes(colour = Cancer), data=. %>% filter(fusion == "Fusion")) +
  theme(legend.position = "none") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

tfe3_combined %>%
  filter(cancer_status == "Cancer") %>%
  ggplot(aes(x = Cancer, y = log2_auc_norm)) +
  geom_boxplot() +
  geom_jitter(aes(colour = Cancer), data=. %>% filter(fusion == "Fusion")) +
  theme(legend.position = "none") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))
```

#Tukey's outlier method

#so these graphs are the the outlier == TRUE
```{r}
#early breaks
expression_function_mutate(erg_counts) %>%
  filter(is_outlier == "TRUE") %>%
  ggplot(aes(x = Cancer, fill = fusion)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(maml3_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(is_outlier == "TRUE") %>%
  ggplot(aes(x = Cancer, fill = fusion)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(tfe3_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(is_outlier == "TRUE") %>%
  ggplot(aes(x = Cancer, fill = fusion)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(tmprss2_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(is_outlier == "TRUE") %>%
  ggplot(aes(x = Cancer, fill = fusion)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(rara_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(is_outlier == "TRUE") %>%
  ggplot(aes(x = Cancer, fill = fusion)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))
#middle
expression_function_mutate(tacc3_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(is_outlier == "TRUE") %>%
  ggplot(aes(x = Cancer, fill = fusion)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(ret_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(is_outlier == "TRUE") %>%
  ggplot(aes(x = Cancer, fill = fusion)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(etv1_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(is_outlier == "TRUE") %>%
  ggplot(aes(x = Cancer, fill = fusion)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(ntrk3_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(is_outlier == "TRUE") %>%
  ggplot(aes(x = Cancer, fill = fusion)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(alk_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(is_outlier == "TRUE") %>%
  ggplot(aes(x = Cancer, fill = fusion)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(arhgap26_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(is_outlier == "TRUE") %>%
  ggplot(aes(x = Cancer, fill = fusion)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))
```

#graphs fusions == TRUE, stacked by outliers
```{r}
#early breaks
expression_function_mutate(erg_counts) %>%
  filter(fusion == "Fusion") %>%
  ggplot(aes(x = Cancer, fill = is_outlier)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(maml3_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(fusion == "Fusion") %>%
  ggplot(aes(x = Cancer, fill = is_outlier)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(tfe3_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(fusion == "Fusion") %>%
  ggplot(aes(x = Cancer, fill = is_outlier)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(tmprss2_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(fusion == "Fusion") %>%
  ggplot(aes(x = Cancer, fill = is_outlier)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(rara_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(fusion == "Fusion") %>%
  ggplot(aes(x = Cancer, fill = is_outlier)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))
#middle
expression_function_mutate(tacc3_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(fusion == "Fusion") %>%
  ggplot(aes(x = Cancer, fill = is_outlier)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(ret_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(fusion == "Fusion") %>%
  ggplot(aes(x = Cancer, fill = is_outlier)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(etv1_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(fusion == "Fusion") %>%
  ggplot(aes(x = Cancer, fill = is_outlier)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(ntrk3_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(fusion == "Fusion") %>%
  ggplot(aes(x = Cancer, fill = is_outlier)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(alk_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(fusion == "Fusion") %>%
  ggplot(aes(x = Cancer, fill = is_outlier)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))

expression_function_mutate(arhgap26_counts) %>%
  filter(cancer_status == "Cancer") %>%
  filter(fusion == "Fusion") %>%
  ggplot(aes(x = Cancer, fill = is_outlier)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))
```

-not as nice looking like this
```{r}
all_genes %>%
  filter(cancer_status == "Cancer") %>%
  group_by(gene, Cancer) %>%
  mutate(min = min(log2_auc_norm),
            quant25 = quantile(log2_auc_norm, probs = 0.25), 
            quant50 = quantile(log2_auc_norm, probs = 0.5),
            quant75 = quantile(log2_auc_norm, probs = 0.75),
            max = max(log2_auc_norm),
            outlier = (quant75 + 1.5*(quant75 - quant25))) %>%
  mutate(is_outlier = ifelse(log2_auc_norm >= outlier, T, F)) %>%
  filter(is_outlier == "TRUE") %>%
  ggplot(aes(x = Project_ID, fill = fusion)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  facet_wrap(~ gene)
```

```{r}
tacc3_combined %>%
  filter(fusion == "Fusion") %>%
  ggplot(aes(x = Project_ID, fill = is_outlier)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  labs(title = "TACC3: proportion of fusions as outliers")
```

```{r}
all_genes %>%
  filter(fusion == "Fusion", gene != "TMPRSS2") %>%
  ggplot(aes(x = gene, fill = is_outlier)) +
  geom_bar(position = "fill") +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  labs(title = "Sensitivity of outliers in identifying fusions")
```








